Behrooz Keshtegar | Civil engineering | Researcher Award

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Prof.Ā  Behrooz Keshtegar | Civil engineering | Researcher Award

Behrooz Keshtegar is an Associate Professor in the Department of Civil Engineering at the University of Zabol, Iran. He has served as a Researcher at the University of Electronic Science and Technology of China and an Adjunct Professor at Ton Duc Thang University, Vietnam. With over a decade of academic experience, he specializes in structural reliability, optimization, and mathematical modeling. Keshtegar has an H-index of 45 and is a frequent contributor to high-impact scientific journals. His work has been internationally recognized, placing him among the top 2% of scientists worldwide.

Profile

Scholar

Education šŸŽ“

BSc in Civil Engineering (2000-2004), University of Sistan and Baluchestan, Iran. MSc in Civil Engineering (2004-2007), Isfahan University of Technology, Iran. PhD in Civil Engineering (2008-2013), University of Sistan and Baluchestan, Iran Keshtegarā€™s academic journey began with a BSc in Civil Engineering, followed by an MSc from Isfahan University of Technology. His PhD, completed in 2013, focused on advanced methods in structural reliability and optimization. His educational background provided a solid foundation for his research in artificial intelligence and civil engineering.

Experience šŸ’¼

Associate Professor (2018-Present), University of Zabol, Iran. Assistant Professor (2014-2018), University of Zabol, Iran. Researcher (2019-2021), University of Electronic Science and Technology of China, Chengdu, China. Adjunct Professor (2019-2021), Ton Duc Thang University, Vietnam Keshtegarā€™s professional career spans roles in academia and research, with significant contributions in structural reliability and optimization. He has been a key researcher in multiple international collaborations and has supervised numerous graduate students on innovative civil engineering projects.

Awards and Honors šŸ†

Best PhD Student (2013), University of Sistan and Baluchestan, Iran. Distinguished Researcher (2015-2019), University of Zabol, Iran. Top 2% World Ranking Scientist (2020, 2021, 2022), Stanford University. Distinguished Young Researcher in Civil Engineering (2021), The Academy of Science, Iran. Keshtegar has been widely recognized for his research excellence, receiving multiple awards for his work in civil engineering. His distinguished achievements place him among the worldā€™s top scientists in structural reliability and optimization.

Research Focus šŸ”¬

Structural Reliability Analysis: Investigating stability transformation methods, probabilistic analysis, and reliability-based design optimization. Optimization: Focus on swarm optimization, harmony search, and artificial intelligence-based optimization of structures. Mathematical Modeling: Nonlinear modeling using AI techniques, metheuristic optimization, and response surface methods Keshtegarā€™s research emphasizes the use of advanced computational methods for structural analysis, optimization, and reliability assessment, with applications ranging from civil infrastructure to nano-composite structures. His work incorporates AI-driven models and cutting-edge optimization techniques.

Publications Top Notes:

  • Probabilistic framework for fatigue life assessment of notched components under size effects
    • International Journal of Mechanical Sciences, 2020, 181, 105685
    • Cited by: 299

 

  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
    • International Journal of Fatigue, 2021, 142, 105912
    • Cited by: 175

 

  • Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
    • Renewable and Sustainable Energy Reviews, 2018, 81, 330-341
    • Cited by: 155

 

  • Probabilistic modeling of fatigue life distribution and size effect of components with random defects
    • International Journal of Fatigue, 2019, 126, 165-173
    • Cited by: 149

 

  • A hybrid relaxed first-order reliability method for efficient structural reliability analysis
    • Structural Safety, 2017, 66, 84-93
    • Cited by: 144

 

  • Prediction of maximum pitting corrosion depth in oil and gas pipelines
    • Engineering Failure Analysis, 2020, 112, 104505
    • Cited by: 142

 

  • Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
    • Computer Methods in Applied Mechanics and Engineering, 2022, 388, 114218
    • Cited by: 140

šŸŽÆ Conclusion:

Behrooz Keshtegar is a highly accomplished researcher in the field of civil engineering with significant contributions to structural reliability, optimization, and artificial intelligence in engineering. His international recognition, strong publication record, and extensive contributions to both academic research and teaching make him a strong candidate for a Best Researcher Award. With minor improvements in language and outreach, his profile would be even more formidable.

 

Hyunsik Kim | Civil engineering | Best Researcher Award

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Dr. Hyunsik Kim | Civil engineering | Best Researcher Award

Senior researcher at Korea Railroad Research Institute,Ā  South Korea

Hyunsik Kim is a Senior Researcher at the Korea Railroad Research Institute, specializing in environmental engineering. With a strong academic foundation and a focus on carbon neutrality and life cycle assessment, he contributes significantly to the understanding of environmental impacts in civil and architectural engineering. His research addresses critical issues such as carbon footprint and air pollution, aiming to promote sustainable practices in the construction industry.

profile

Scopus

Orcid

Education šŸŽ“

Hyunsik Kim earned his B.S. (2003-2009) and M.S. (2009-2011) in Civil Engineering from Hanyang University, South Korea. He further advanced his studies by obtaining a Ph.D. in Architectural Engineering from the same institution (2018-2022). His educational background equips him with a robust understanding of civil engineering principles, preparing him for a career focused on sustainability and environmental impact.

Experience šŸ’¼

Hyunsik began his career as an Assistant Engineer in the Railway Department at TESO Engineering (2011-2014). He then completed a Postdoctoral Fellowship in the Department of Civil Engineering at Korea National University of Transportation (2022-2024). Currently, he serves as a Senior Researcher in the Transportation Environmental Research Department at the Korea Railroad Research Institute, where he applies his expertise to address environmental challenges in transportation infrastructure.

Awards and Honors šŸ†

Hyunsik Kim has received several accolades for his research contributions, including recognition for his innovative work in environmental engineering. His publications in leading journals showcase his commitment to advancing knowledge in carbon neutrality and life cycle assessment, highlighting his significant role in promoting sustainable practices in construction and civil engineering.

Research Focus šŸ”

Hyunsik’s research focuses on carbon neutrality, life cycle assessment, and the environmental emissions associated with civil and architectural engineering. He explores the embodied carbon of building materials, the impact of construction processes on air quality, and the effectiveness of monitoring systems for particulate matter emissions. His work aims to enhance sustainability in construction practices and mitigate environmental impacts.

Publications Top Notes:

  • Disparities in Urban Park Visitation Patterns among Socioeconomically Vulnerable Communities during the COVID-19 Pandemic
    • Journal: Sustainability
    • Date: January 2024
    • DOI: 10.3390/su16031070
    • Contributors: Jae Ho Lee, Yonghan Ahn, Dongryeol Kang, Hyunsik Kim
    • Focus: Examines visitation patterns in urban parks among vulnerable communities during the pandemic.

 

  • The Embodied Life Cycle Global Warming Potential of Off-Site Prefabricated Concrete Products: Precast Concrete and Concrete Pile Production in Korea
    • Journal: Buildings
    • Date: October 2023
    • DOI: 10.3390/buildings13102590
    • Contributors: Hyunsik Kim, Jeonghwan Kim, Seungjun Roh
    • Focus: Analyzes the global warming potential of prefabricated concrete products.

 

  • Effects of Gas and Steam Humidity on Particulate Matter Measurements Obtained Using Light-Scattering Sensors
    • Journal: Sensors
    • Date: July 2023
    • DOI: 10.3390/s23136199
    • Contributors: Hyunsik Kim, Jeonghwan Kim, Seungjun Roh
    • Focus: Investigates the impact of humidity on particulate matter measurements.

 

  • Propriety Assessment Model for Life Cycle Operational Global Warming Potential of Apartment Buildings in Korea
    • Journal: Scientific Reports
    • Date: February 10, 2023
    • DOI: 10.1038/s41598-023-29142-6
    • Contributors: Hyunsik Kim, Hyojin Lim, Jeonghwan Kim, Seungjun Roh
    • Focus: Proposes a model assessing the global warming potential of apartment buildings based on energy efficiency.

 

  • Program for Propriety Analysis of Global Warming Potential Caused by the Operational Energy Consumption of Buildings in Korea
    • Journal: Indoor and Built Environment
    • Date: November 7, 2022
    • DOI: 10.1177/1420326×221137699
    • Contributors: Hyunsik Kim, Hyeongjae Jang, Sungho Tae, Jeonghwan Kim
    • Focus: Develops a program for analyzing the operational energy consumption’s global warming potential.

 

  • Life-Cycle Assessment of Apartment Buildings Based on Standard Quantities of Building Materials Using Probabilistic Analysis Technique
    • Journal: Materials
    • Date: June 2022
    • DOI: 10.3390/ma15124103
    • Contributors: Hyeonsuk Kim, Hyeongjae Jang, Sungho Tae, Hyunsik Kim, Kanghee Jo
    • Focus: Utilizes probabilistic analysis in the life-cycle assessment of building materials.

 

  • Technology for Predicting Particulate Matter Emissions at Construction Sites in South Korea
    • Journal: Sustainability
    • Date: December 2021
    • DOI: 10.3390/su132413792
    • Contributors: Jihwan Yang, Sungho Tae, Hyunsik Kim
    • Focus: Discusses predictive technologies for particulate matter emissions at construction sites.

 

  • Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
    • Journal: International Journal of Environmental Research and Public Health
    • Date: November 1, 2021
    • DOI: 10.3390/ijerph182111510
    • Focus: Explores an IoT-based system for monitoring air quality at construction sites.

Conclusion

Hyunsik Kim is a highly qualified candidate for the Best Researcher Award, showcasing exceptional research capabilities and a commitment to addressing environmental challenges in the civil engineering sector. His extensive publication record and focus on sustainability underscore his potential to influence both academic and practical applications in his field. With continued professional development and outreach, Hyunsik is poised to make even greater contributions to research and practice in environmental engineering.